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- Tasks: Analyse complex datasets and create impactful data solutions.
- Company: Join Dot Collective, a forward-thinking consultancy in the UK and EU.
- Benefits: Flexible working, mental health support, and opportunities for personal projects.
- Why this job: Make a real difference with data while enjoying a supportive work culture.
- Qualifications: Strong SQL skills, experience with Python, and familiarity with data visualisation tools.
- Other info: Stable teams, collaborative environment, and excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Senior Data Analyst role at Dot Collective.
About The Dot Collective
We are a new generation consultancy based across UK and EU and founded on the premises of engineering excellence and empowering people to make an impact.
About You
Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you.
Your Key Skills And Capabilities
- Gathering and documenting business and project requirements
- Managing stakeholders of differing levels
- Analysing and profiling large and complex datasets
- Managing a team backlog using tools like Jira or Azure DevOps
- Agile ways of working
- Familiar with Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) systems
- Creating conceptual, logical and physical data models
- Creating mapping specifications for data migrations
- Coordinating User Acceptance Testing (UAT) with business stakeholders
- Excellent SQL skills
- Knowledge of Python (pandas)
- Experience with Cloud platforms
- Creating data dashboards using Tableau, PowerBI or Qlik and storytelling
We expect you to work closely with business to understand their current data problems, pain points and to know how to analyse and cleanse their data. Also, we expect you to design data storage solutions and be a good communicator with your technical team.
Our promise to you
We will always see you as a human being and will do our very best to support your needs and wellbeing – well‑designed co‑working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a glued team is worth its weight in gold – we will do everything we can to avoid breaking well‑performing teams – your team will be stable across different projects and you will work with people you trust and like. We are committed to prioritising the wellbeing of our employees. To fulfil this promise, we provide a comprehensive employee wellbeing program that includes mental health support, flexible working arrangements, wellness activities, and a positive work culture. We recognise that the world of tech delivery has moved on significantly in the last 15 years and know a thing or two about how to bring projects over the line without experiencing lots of despair and burn‑out. In fact, we like to believe that our projects are the opposite of that – they are run smoothly and most of the time are fun to work on.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: IT Services and IT Consulting
Senior Data Analyst employer: Dot Collective
Contact Detail:
Dot Collective Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. The more people you know, the better your chances of landing that Senior Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and any cool stuff you've built using SQL or Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data-related questions and scenarios. Think about how you would tackle real-world problems and be ready to discuss your approach to stakeholder management and data cleansing.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at Dot Collective.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with SQL, Python, and data visualisation tools like Tableau or PowerBI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you've made an impact in previous roles. We love hearing about your journey and what drives you to apply at Dot Collective.
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work with data models, dashboards, or any UAT experiences. We’re keen to see how you’ve tackled real-world data challenges.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Dot Collective
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data analysis. Be ready to discuss specific datasets you've worked with, the challenges you faced, and how you overcame them. This will show your passion for data and its transformational powers.
✨Master the Tools of the Trade
Familiarise yourself with the tools mentioned in the job description, like SQL, Python (especially pandas), and data visualisation platforms like Tableau or PowerBI. Prepare to demonstrate your skills or discuss how you've used these tools in previous roles.
✨Communicate Like a Pro
Since the role involves managing stakeholders and coordinating User Acceptance Testing, practice articulating complex data concepts in simple terms. Think of examples where you've successfully communicated with non-technical teams to solve data problems.
✨Show Your Agile Mindset
Brush up on Agile methodologies and be prepared to discuss how you've applied them in your previous work. Share experiences where you managed a team backlog using tools like Jira or Azure DevOps, highlighting your adaptability and collaborative spirit.
